Update app.py

app.py

@@ -12,6 +12,10 @@ from transformers import AutoModelForSequenceClassification
 from transformers import TFAutoModelForSequenceClassification
 from transformers import AutoTokenizer
 import matplotlib.pyplot as plt
+import sys
+import csv
+
+csv.field_size_limit(sys.maxsize)
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
@@ -92,7 +96,7 @@ with gr.Blocks(title=title) as demo:
     
     with gr.Row():
         gr.Markdown("### Click on any of the examples below to see how it works:")
-        gr.Examples([["Severe headache after Aspirin."],["Minor headache after Acetaminophen."]], [prob1], [label,local_plot, med
+        gr.Examples([["I had severe headache after taking Aspirin."],["I had minor stomachache after taking Acetaminophen."]], [prob1], [label,local_plot, med
                                                                                                             # , sym
                                                                           ], main, cache_examples=True)